Full Stack AI Engineer

About the Role:

We are seeking a Full Stack AI Engineer to bridge the gap between advanced AI and production-grade application development. You will own the entire lifecycle of internal AI products—from managing vector stores to building intuitive React frontends—making complex AI agents and workflows accessible to our Operations and Product teams.

Key Responsibilities:

• End-to-End Development: Design and build full-stack AI tools and dashboards, ensuring seamless UI/Backend integration.

• AI Engineering: Integrate LLMs using Python and modern frameworks (LangChain, LangGraph). Build robust REST APIs and implement RAG pipelines using SQL and Vector databases.

• UI/UX: Develop responsive, user-friendly interfaces using React/TypeScript for non-technical stakeholders.

• DevOps & Quality: Deploy containerized applications (Docker/Kubernetes), manage async tasks (Redis/Celery), and monitor model performance/latency.

Requirements:

• Experience: 3+ years in full-stack web development with a Bachelor’s in CS or related field.

• Frontend Stack: Proficiency in React, TypeScript, and Tailwind/SASS.

• Backend Stack: Expert-level Python (FastAPI, Django, or Flask) and Node.js.

• AI/ML Skills: Hands-on experience with OpenAI APIs, RAG pipelines, Embeddings, and Multi-Agent systems.

• Databases: Strong SQL knowledge plus experience with Vector Databases (Pinecone, Milvus, or pgvector).

• Infrastructure: Familiarity with AWS/GCP, CI/CD, and Docker.

Why Join Us?

Work in a dynamic, innovation-focused environment where you can solve real-world problems at scale while continuously learning new technologies.